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+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Antidepressant & Social Media Use"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Importing libraries\n",
+    "import pandas as pd\n",
+    "import seaborn as sns\n",
+    "import matplotlib as plt\n",
+    "import matplotlib.pyplot as plt\n",
+    "%matplotlib inline"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Read in dataset on pharmaceutical consumption by country & Year (https://stats.oecd.org/index.aspx?queryid=30123#)\n",
+    "df_pharma = pd.read_csv('HEALTH_PHMC_08092019205322815.csv')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array(['A-Alimentary tract and metabolism', 'A02A-Antacids',\n",
+       "       'A02B-Drugs for peptic ulcer and gastro-oesophageal reflux diseases (GORD)',\n",
+       "       'A10-Drugs used in diabetes', 'B-Blood and blood forming organs',\n",
+       "       'C-Cardiovascular system', 'C01A-Cardiac glycosides',\n",
+       "       'C01B-Antiarrhythmics, Class I and III', 'C02-Antihypertensives',\n",
+       "       'C03-Diuretics', 'C07-Beta blocking agents',\n",
+       "       'C08-Calcium channel blockers',\n",
+       "       'C09-Agents acting on the Renin-Angiotensin system',\n",
+       "       'C10-Lipid modifying agents',\n",
+       "       'G-Genito urinary system and sex hormones',\n",
+       "       'G03-Sex hormones and modulators of the genital system',\n",
+       "       'H-Systemic hormonal preparations, excluding sex hormones and insulins',\n",
+       "       'J-Antiinfectives for systemic use',\n",
+       "       'J01-Antibacterials for systemic use', 'M-Musculo-skeletal system',\n",
+       "       'M01A-Antiinflammatory and antirheumatic products non-steroids',\n",
+       "       'N-Nervous system', 'N02-Analgesics', 'N05B-Anxiolytics',\n",
+       "       'N05C-Hypnotics and sedatives', 'N06A-Antidepressants',\n",
+       "       'R-Respiratory system',\n",
+       "       'R03-Drugs for obstructive airway diseases'], dtype=object)"
+      ]
+     },
+     "execution_count": 3,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df_pharma.Variable.unique()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array(['N-Nervous system', 'N06A-Antidepressants'], dtype=object)"
+      ]
+     },
+     "execution_count": 4,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Filter dataframe to only rows that contain information on N or N06A products\n",
+    "df_pharma_N = df_pharma[df_pharma['Variable'].isin (['N-Nervous system','N06A-Antidepressants'])]\n",
+    "\n",
+    "# Test if succeeded\n",
+    "df_pharma_N.Variable.unique()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "VAR            object\n",
+       "Variable       object\n",
+       "UNIT           object\n",
+       "Measure        object\n",
+       "COU            object\n",
+       "Country        object\n",
+       "YEA             int64\n",
+       "Year            int64\n",
+       "Value         float64\n",
+       "Flag Codes     object\n",
+       "Flags          object\n",
+       "dtype: object"
+      ]
+     },
+     "execution_count": 5,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df_pharma_N.dtypes"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.axes._subplots.AxesSubplot at 0x11b733350>"
+      ]
+     },
+     "execution_count": 6,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "sns.lineplot(x = 'Year', y = 'Value', hue = 'Country', data = df_pharma_N)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>VAR</th>\n",
+       "      <th>Variable</th>\n",
+       "      <th>UNIT</th>\n",
+       "      <th>Measure</th>\n",
+       "      <th>COU</th>\n",
+       "      <th>Country</th>\n",
+       "      <th>YEA</th>\n",
+       "      <th>Year</th>\n",
+       "      <th>Value</th>\n",
+       "      <th>Flag Codes</th>\n",
+       "      <th>Flags</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>8023</th>\n",
+       "      <td>PHARCNSY</td>\n",
+       "      <td>N-Nervous system</td>\n",
+       "      <td>NBPYEANB</td>\n",
+       "      <td>Defined daily dosage per 1 000 inhabitants per...</td>\n",
+       "      <td>AUS</td>\n",
+       "      <td>Australia</td>\n",
+       "      <td>2000</td>\n",
+       "      <td>2000</td>\n",
+       "      <td>109.5</td>\n",
+       "      <td>D</td>\n",
+       "      <td>Difference in methodology</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8024</th>\n",
+       "      <td>PHARCNSY</td>\n",
+       "      <td>N-Nervous system</td>\n",
+       "      <td>NBPYEANB</td>\n",
+       "      <td>Defined daily dosage per 1 000 inhabitants per...</td>\n",
+       "      <td>AUS</td>\n",
+       "      <td>Australia</td>\n",
+       "      <td>2001</td>\n",
+       "      <td>2001</td>\n",
+       "      <td>118.1</td>\n",
+       "      <td>D</td>\n",
+       "      <td>Difference in methodology</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8025</th>\n",
+       "      <td>PHARCNSY</td>\n",
+       "      <td>N-Nervous system</td>\n",
+       "      <td>NBPYEANB</td>\n",
+       "      <td>Defined daily dosage per 1 000 inhabitants per...</td>\n",
+       "      <td>AUS</td>\n",
+       "      <td>Australia</td>\n",
+       "      <td>2002</td>\n",
+       "      <td>2002</td>\n",
+       "      <td>121.0</td>\n",
+       "      <td>D</td>\n",
+       "      <td>Difference in methodology</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8026</th>\n",
+       "      <td>PHARCNSY</td>\n",
+       "      <td>N-Nervous system</td>\n",
+       "      <td>NBPYEANB</td>\n",
+       "      <td>Defined daily dosage per 1 000 inhabitants per...</td>\n",
+       "      <td>AUS</td>\n",
+       "      <td>Australia</td>\n",
+       "      <td>2003</td>\n",
+       "      <td>2003</td>\n",
+       "      <td>125.0</td>\n",
+       "      <td>D</td>\n",
+       "      <td>Difference in methodology</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8027</th>\n",
+       "      <td>PHARCNSY</td>\n",
+       "      <td>N-Nervous system</td>\n",
+       "      <td>NBPYEANB</td>\n",
+       "      <td>Defined daily dosage per 1 000 inhabitants per...</td>\n",
+       "      <td>AUS</td>\n",
+       "      <td>Australia</td>\n",
+       "      <td>2004</td>\n",
+       "      <td>2004</td>\n",
+       "      <td>132.7</td>\n",
+       "      <td>D</td>\n",
+       "      <td>Difference in methodology</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "           VAR          Variable      UNIT  \\\n",
+       "8023  PHARCNSY  N-Nervous system  NBPYEANB   \n",
+       "8024  PHARCNSY  N-Nervous system  NBPYEANB   \n",
+       "8025  PHARCNSY  N-Nervous system  NBPYEANB   \n",
+       "8026  PHARCNSY  N-Nervous system  NBPYEANB   \n",
+       "8027  PHARCNSY  N-Nervous system  NBPYEANB   \n",
+       "\n",
+       "                                                Measure  COU    Country   YEA  \\\n",
+       "8023  Defined daily dosage per 1 000 inhabitants per...  AUS  Australia  2000   \n",
+       "8024  Defined daily dosage per 1 000 inhabitants per...  AUS  Australia  2001   \n",
+       "8025  Defined daily dosage per 1 000 inhabitants per...  AUS  Australia  2002   \n",
+       "8026  Defined daily dosage per 1 000 inhabitants per...  AUS  Australia  2003   \n",
+       "8027  Defined daily dosage per 1 000 inhabitants per...  AUS  Australia  2004   \n",
+       "\n",
+       "      Year  Value Flag Codes                      Flags  \n",
+       "8023  2000  109.5          D  Difference in methodology  \n",
+       "8024  2001  118.1          D  Difference in methodology  \n",
+       "8025  2002  121.0          D  Difference in methodology  \n",
+       "8026  2003  125.0          D  Difference in methodology  \n",
+       "8027  2004  132.7          D  Difference in methodology  "
+      ]
+     },
+     "execution_count": 7,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df_pharma_N.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array(['NBPYEANB'], dtype=object)"
+      ]
+     },
+     "execution_count": 8,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df_pharma_N.UNIT.unique()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 95,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array(['Australia', 'Austria', 'Belgium', 'Canada', 'Czech Republic',\n",
+       "       'Denmark', 'Finland', 'France', 'Germany', 'Greece', 'Hungary',\n",
+       "       'Iceland', 'Italy', 'Korea', 'Luxembourg', 'Netherlands',\n",
+       "       'New Zealand', 'Norway', 'Portugal', 'Slovak Republic', 'Spain',\n",
+       "       'Sweden', 'Turkey', 'United Kingdom', 'Chile', 'Estonia', 'Israel',\n",
+       "       'Slovenia', 'Latvia', 'Lithuania'], dtype=object)"
+      ]
+     },
+     "execution_count": 95,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df_pharma_N06.Country.unique()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array(['Defined daily dosage per 1 000 inhabitants per day'], dtype=object)"
+      ]
+     },
+     "execution_count": 9,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df_pharma_N['Measure'].unique()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# New Dataset for only Antidepressants (N06)\n",
+    "df_pharma_N06 = df_pharma_N[df_pharma_N['Variable'].isin (['N06A-Antidepressants'])]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Drop columns (Measure, UNIT, VAR only have 1 value; Flags and Flag Code not relevant, YEA duplicate)\n",
+    "df_pharma_N06 = df_pharma_N06.drop(columns = ['Measure', 'Flag Codes', 'UNIT', 'VAR','YEA','Flags'])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Drop index\n",
+    "df_pharma_N06 = df_pharma_N06.reset_index(drop=True)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Variable    0\n",
+       "COU         0\n",
+       "Country     0\n",
+       "Year        0\n",
+       "Value       0\n",
+       "dtype: int64"
+      ]
+     },
+     "execution_count": 13,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Checking for NaNs\n",
+    "df_pharma_N06.isnull().sum()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "(414, 5)"
+      ]
+     },
+     "execution_count": 14,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Shape\n",
+    "df_pharma_N06.shape"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array(['Australia', 'Austria', 'Belgium', 'Canada', 'Czech Republic',\n",
+       "       'Denmark', 'Finland', 'France', 'Germany', 'Greece', 'Hungary',\n",
+       "       'Iceland', 'Italy', 'Korea', 'Luxembourg', 'Netherlands',\n",
+       "       'New Zealand', 'Norway', 'Portugal', 'Slovak Republic', 'Spain',\n",
+       "       'Sweden', 'Turkey', 'United Kingdom', 'Chile', 'Estonia', 'Israel',\n",
+       "       'Slovenia', 'Latvia', 'Lithuania'], dtype=object)"
+      ]
+     },
+     "execution_count": 15,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df_pharma_N06.Country.unique()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df_pharma_N06_2014 = df_pharma_N06[df_pharma_N06['Year']==2014]                               "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df_pharma_N06_2017 = df_pharma_N06[df_pharma_N06['Year']==2017]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df_pharma_N06_2018 = df_pharma_N06[df_pharma_N06['Year']==2018]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 19,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "sns.barplot(x='Country', y='Value', data=df_pharma_N06_2017)\n",
+    "plt.rcParams['figure.figsize']=50,10"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 20,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Variable</th>\n",
+       "      <th>COU</th>\n",
+       "      <th>Country</th>\n",
+       "      <th>Year</th>\n",
+       "      <th>Value</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>N06A-Antidepressants</td>\n",
+       "      <td>AUS</td>\n",
+       "      <td>Australia</td>\n",
+       "      <td>2000</td>\n",
+       "      <td>45.4</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>N06A-Antidepressants</td>\n",
+       "      <td>AUS</td>\n",
+       "      <td>Australia</td>\n",
+       "      <td>2001</td>\n",
+       "      <td>53.2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>N06A-Antidepressants</td>\n",
+       "      <td>AUS</td>\n",
+       "      <td>Australia</td>\n",
+       "      <td>2002</td>\n",
+       "      <td>54.7</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>N06A-Antidepressants</td>\n",
+       "      <td>AUS</td>\n",
+       "      <td>Australia</td>\n",
+       "      <td>2003</td>\n",
+       "      <td>58.5</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>N06A-Antidepressants</td>\n",
+       "      <td>AUS</td>\n",
+       "      <td>Australia</td>\n",
+       "      <td>2004</td>\n",
+       "      <td>63.4</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "               Variable  COU    Country  Year  Value\n",
+       "0  N06A-Antidepressants  AUS  Australia  2000   45.4\n",
+       "1  N06A-Antidepressants  AUS  Australia  2001   53.2\n",
+       "2  N06A-Antidepressants  AUS  Australia  2002   54.7\n",
+       "3  N06A-Antidepressants  AUS  Australia  2003   58.5\n",
+       "4  N06A-Antidepressants  AUS  Australia  2004   63.4"
+      ]
+     },
+     "execution_count": 20,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df_pharma_N06.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 21,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 3600x720 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "sns.lineplot(x='Year', y='Value', hue='Country', data =df_pharma_N06)\n",
+    "sns.set_style('white')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 22,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#plot_group_country = df_pharma_N06[[\"Value\"]].groupby([\"Year\"]).agg(\"count\")\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Webscraping"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 23,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import requests\n",
+    "import json \n",
+    "import pandas as pd\n",
+    "from bs4 import BeautifulSoup"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 24,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "url = 'https://www.statista.com/statistics/295660/active-social-media-penetration-in-european-countries/'\n",
+    "\n",
+    "html = requests.get(url).content\n",
+    " \n",
+    "soup = BeautifulSoup(html, \"lxml\")  # Check documentation to specify 'features'\n",
+    "#soup\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 25,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "social = soup.find_all('div',attrs = {'class':\"statistic__wrapper\"})\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 26,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "['Albania51%Andorra65%Austria50%Belarus40%Belgium65%Bosnia&Herzegovina49%Bulgaria54%Croatia48%Czechia54%Denmark71%Estonia57%Finland59%France58%Germany46%Gibraltar72%Greece54%Guernsey58%Hungary62%Iceland83%RepublicofIreland66%Italy59%Kosovo40%Latvia51%Liechtenstein44%Lithuania59%Luxembourg62%Malta88%Moldova30%Monaco99%Montenegro60%Netherlands64%Norway71%Poland47%Portugal65%Romania56%Serbia43%Slovakia50%Slovenia53%Spain60%Sweden72%Switzerland51%TheFaroeIslands75%Ukraine39%UnitedKingdom(UK)67%ActivesocialmediapenetrationAlbania51%Andorra65%Austria50%Belarus40%Belgium65%Bosnia&Herzegovina49%Bulgaria54%Croatia48%Czechia54%Denmark71%Estonia57%Finland59%France58%Germany46%Gibraltar72%Greece54%Guernsey58%Hungary62%Iceland83%RepublicofIreland66%Italy59%Kosovo40%Latvia51%Liechtenstein44%Lithuania59%Luxembourg62%Malta88%Moldova30%Monaco99%Montenegro60%Netherlands64%Norway71%Poland47%Portugal65%Romania56%Serbia43%Slovakia50%Slovenia53%Spain60%Sweden72%Switzerland51%TheFaroeIslands75%Ukraine39%UnitedKingdom(UK)67%']"
+      ]
+     },
+     "execution_count": 26,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "social_lst = [s.text.replace('\\n','').replace(' ','').replace('Loadingstatistic...ExpandstatisticActivesocialmediapenetration','') for s in social[0:]]\n",
+    "#social_lst = [s.text.replace(' ','').strip(' ') for s in social[0:]]\n",
+    "#social_lst2 = [s.text.replace('\\nLoadingstatistic...\\n\\nExpandstatisticActivesocialmediapenetration','') for s in social[0:]]\n",
+    "social_lst"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 27,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Import regular expressions library\n",
+    "import re"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 28,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Flatten list\n",
+    "#one_list = [item for sublist in social_lst1 for item in sublist]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 29,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# For loop\n",
+    "\n",
+    "#new_lst = []\n",
+    "#for s in social_lst:\n",
+    "    #sep = regex.split(s)\n",
+    "    #new_lst.append(sep)\n",
+    "    \n",
+    "# List comprehension\n",
+    "\n",
+    "#new_lst = [regex.split(s) for s in social_lst]\n",
+    "    "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 30,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "regex = re.compile(\"([a-zA-Z]+)([0-9]+)\")\n",
+    "new_lst = [regex.split(s) for s in social_lst]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 31,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "[['',\n",
+       "  'Albania',\n",
+       "  '51',\n",
+       "  '%',\n",
+       "  'Andorra',\n",
+       "  '65',\n",
+       "  '%',\n",
+       "  'Austria',\n",
+       "  '50',\n",
+       "  '%',\n",
+       "  'Belarus',\n",
+       "  '40',\n",
+       "  '%',\n",
+       "  'Belgium',\n",
+       "  '65',\n",
+       "  '%Bosnia&',\n",
+       "  'Herzegovina',\n",
+       "  '49',\n",
+       "  '%',\n",
+       "  'Bulgaria',\n",
+       "  '54',\n",
+       "  '%',\n",
+       "  'Croatia',\n",
+       "  '48',\n",
+       "  '%',\n",
+       "  'Czechia',\n",
+       "  '54',\n",
+       "  '%',\n",
+       "  'Denmark',\n",
+       "  '71',\n",
+       "  '%',\n",
+       "  'Estonia',\n",
+       "  '57',\n",
+       "  '%',\n",
+       "  'Finland',\n",
+       "  '59',\n",
+       "  '%',\n",
+       "  'France',\n",
+       "  '58',\n",
+       "  '%',\n",
+       "  'Germany',\n",
+       "  '46',\n",
+       "  '%',\n",
+       "  'Gibraltar',\n",
+       "  '72',\n",
+       "  '%',\n",
+       "  'Greece',\n",
+       "  '54',\n",
+       "  '%',\n",
+       "  'Guernsey',\n",
+       "  '58',\n",
+       "  '%',\n",
+       "  'Hungary',\n",
+       "  '62',\n",
+       "  '%',\n",
+       "  'Iceland',\n",
+       "  '83',\n",
+       "  '%',\n",
+       "  'RepublicofIreland',\n",
+       "  '66',\n",
+       "  '%',\n",
+       "  'Italy',\n",
+       "  '59',\n",
+       "  '%',\n",
+       "  'Kosovo',\n",
+       "  '40',\n",
+       "  '%',\n",
+       "  'Latvia',\n",
+       "  '51',\n",
+       "  '%',\n",
+       "  'Liechtenstein',\n",
+       "  '44',\n",
+       "  '%',\n",
+       "  'Lithuania',\n",
+       "  '59',\n",
+       "  '%',\n",
+       "  'Luxembourg',\n",
+       "  '62',\n",
+       "  '%',\n",
+       "  'Malta',\n",
+       "  '88',\n",
+       "  '%',\n",
+       "  'Moldova',\n",
+       "  '30',\n",
+       "  '%',\n",
+       "  'Monaco',\n",
+       "  '99',\n",
+       "  '%',\n",
+       "  'Montenegro',\n",
+       "  '60',\n",
+       "  '%',\n",
+       "  'Netherlands',\n",
+       "  '64',\n",
+       "  '%',\n",
+       "  'Norway',\n",
+       "  '71',\n",
+       "  '%',\n",
+       "  'Poland',\n",
+       "  '47',\n",
+       "  '%',\n",
+       "  'Portugal',\n",
+       "  '65',\n",
+       "  '%',\n",
+       "  'Romania',\n",
+       "  '56',\n",
+       "  '%',\n",
+       "  'Serbia',\n",
+       "  '43',\n",
+       "  '%',\n",
+       "  'Slovakia',\n",
+       "  '50',\n",
+       "  '%',\n",
+       "  'Slovenia',\n",
+       "  '53',\n",
+       "  '%',\n",
+       "  'Spain',\n",
+       "  '60',\n",
+       "  '%',\n",
+       "  'Sweden',\n",
+       "  '72',\n",
+       "  '%',\n",
+       "  'Switzerland',\n",
+       "  '51',\n",
+       "  '%',\n",
+       "  'TheFaroeIslands',\n",
+       "  '75',\n",
+       "  '%',\n",
+       "  'Ukraine',\n",
+       "  '39',\n",
+       "  '%UnitedKingdom(UK)67%',\n",
+       "  'ActivesocialmediapenetrationAlbania',\n",
+       "  '51',\n",
+       "  '%',\n",
+       "  'Andorra',\n",
+       "  '65',\n",
+       "  '%',\n",
+       "  'Austria',\n",
+       "  '50',\n",
+       "  '%',\n",
+       "  'Belarus',\n",
+       "  '40',\n",
+       "  '%',\n",
+       "  'Belgium',\n",
+       "  '65',\n",
+       "  '%Bosnia&',\n",
+       "  'Herzegovina',\n",
+       "  '49',\n",
+       "  '%',\n",
+       "  'Bulgaria',\n",
+       "  '54',\n",
+       "  '%',\n",
+       "  'Croatia',\n",
+       "  '48',\n",
+       "  '%',\n",
+       "  'Czechia',\n",
+       "  '54',\n",
+       "  '%',\n",
+       "  'Denmark',\n",
+       "  '71',\n",
+       "  '%',\n",
+       "  'Estonia',\n",
+       "  '57',\n",
+       "  '%',\n",
+       "  'Finland',\n",
+       "  '59',\n",
+       "  '%',\n",
+       "  'France',\n",
+       "  '58',\n",
+       "  '%',\n",
+       "  'Germany',\n",
+       "  '46',\n",
+       "  '%',\n",
+       "  'Gibraltar',\n",
+       "  '72',\n",
+       "  '%',\n",
+       "  'Greece',\n",
+       "  '54',\n",
+       "  '%',\n",
+       "  'Guernsey',\n",
+       "  '58',\n",
+       "  '%',\n",
+       "  'Hungary',\n",
+       "  '62',\n",
+       "  '%',\n",
+       "  'Iceland',\n",
+       "  '83',\n",
+       "  '%',\n",
+       "  'RepublicofIreland',\n",
+       "  '66',\n",
+       "  '%',\n",
+       "  'Italy',\n",
+       "  '59',\n",
+       "  '%',\n",
+       "  'Kosovo',\n",
+       "  '40',\n",
+       "  '%',\n",
+       "  'Latvia',\n",
+       "  '51',\n",
+       "  '%',\n",
+       "  'Liechtenstein',\n",
+       "  '44',\n",
+       "  '%',\n",
+       "  'Lithuania',\n",
+       "  '59',\n",
+       "  '%',\n",
+       "  'Luxembourg',\n",
+       "  '62',\n",
+       "  '%',\n",
+       "  'Malta',\n",
+       "  '88',\n",
+       "  '%',\n",
+       "  'Moldova',\n",
+       "  '30',\n",
+       "  '%',\n",
+       "  'Monaco',\n",
+       "  '99',\n",
+       "  '%',\n",
+       "  'Montenegro',\n",
+       "  '60',\n",
+       "  '%',\n",
+       "  'Netherlands',\n",
+       "  '64',\n",
+       "  '%',\n",
+       "  'Norway',\n",
+       "  '71',\n",
+       "  '%',\n",
+       "  'Poland',\n",
+       "  '47',\n",
+       "  '%',\n",
+       "  'Portugal',\n",
+       "  '65',\n",
+       "  '%',\n",
+       "  'Romania',\n",
+       "  '56',\n",
+       "  '%',\n",
+       "  'Serbia',\n",
+       "  '43',\n",
+       "  '%',\n",
+       "  'Slovakia',\n",
+       "  '50',\n",
+       "  '%',\n",
+       "  'Slovenia',\n",
+       "  '53',\n",
+       "  '%',\n",
+       "  'Spain',\n",
+       "  '60',\n",
+       "  '%',\n",
+       "  'Sweden',\n",
+       "  '72',\n",
+       "  '%',\n",
+       "  'Switzerland',\n",
+       "  '51',\n",
+       "  '%',\n",
+       "  'TheFaroeIslands',\n",
+       "  '75',\n",
+       "  '%',\n",
+       "  'Ukraine',\n",
+       "  '39',\n",
+       "  '%UnitedKingdom(UK)67%']]"
+      ]
+     },
+     "execution_count": 31,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "new_lst"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 32,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Create DataFrame\n",
+    "df_social = pd.DataFrame(new_lst)\n",
+    "df_social = df_social.transpose()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 33,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Create new empty column 'Percentage'\n",
+    "df_social.insert(1,'Percentage','')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 34,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>0</th>\n",
+       "      <th>Percentage</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>Albania</td>\n",
+       "      <td></td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>51</td>\n",
+       "      <td></td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>%</td>\n",
+       "      <td></td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>Andorra</td>\n",
+       "      <td></td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "         0 Percentage\n",
+       "0                    \n",
+       "1  Albania           \n",
+       "2       51           \n",
+       "3        %           \n",
+       "4  Andorra           "
+      ]
+     },
+     "execution_count": 34,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Testing\n",
+    "df_social.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 35,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Renaming column name '0' to 'Country'\n",
+    "df_social = df_social.rename(columns={0:'Country'})"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 36,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Dropping rows with % characters\n",
+    "df_social = df_social[(df_social['Country']!='%')]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 37,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Country</th>\n",
+       "      <th>Percentage</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>253</th>\n",
+       "      <td>TheFaroeIslands</td>\n",
+       "      <td></td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>254</th>\n",
+       "      <td>75</td>\n",
+       "      <td></td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>256</th>\n",
+       "      <td>Ukraine</td>\n",
+       "      <td></td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>257</th>\n",
+       "      <td>39</td>\n",
+       "      <td></td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>258</th>\n",
+       "      <td>%UnitedKingdom(UK)67%</td>\n",
+       "      <td></td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                   Country Percentage\n",
+       "253        TheFaroeIslands           \n",
+       "254                     75           \n",
+       "256                Ukraine           \n",
+       "257                     39           \n",
+       "258  %UnitedKingdom(UK)67%           "
+      ]
+     },
+     "execution_count": 37,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Dropping rows\n",
+    "df_social_drop = df_social.drop([0])\n",
+    "\n",
+    "# Dropping index 0 because empty\n",
+    "\n",
+    "df_social_drop.tail()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 38,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Dropping rows that contain 'United Kingdom'. We will add that country later on manually: %UnitedKingdom(UK)67%\n",
+    "\n",
+    "df_social_drop = df_social_drop[~df_social_drop['Country'].str.contains('UnitedKingdom')]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 39,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Dropping values for Bosnia & Herzegovina15,16,17 wrong format and we do not have data on these countries in the pharma dataset.\n",
+    "df_social_drop = df_social_drop[~df_social_drop['Country'].str.contains('Bosnia')]\n",
+    "df_social_drop = df_social_drop[~df_social_drop['Country'].str.contains('Herzegovina')]\n",
+    "df_social_drop = df_social_drop[~df_social_drop['Country'].str.contains('49')]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 40,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Country</th>\n",
+       "      <th>Percentage</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>251</th>\n",
+       "      <td>51</td>\n",
+       "      <td></td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>253</th>\n",
+       "      <td>TheFaroeIslands</td>\n",
+       "      <td></td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>254</th>\n",
+       "      <td>75</td>\n",
+       "      <td></td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>256</th>\n",
+       "      <td>Ukraine</td>\n",
+       "      <td></td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>257</th>\n",
+       "      <td>39</td>\n",
+       "      <td></td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "             Country Percentage\n",
+       "251               51           \n",
+       "253  TheFaroeIslands           \n",
+       "254               75           \n",
+       "256          Ukraine           \n",
+       "257               39           "
+      ]
+     },
+     "execution_count": 40,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df_social_drop.tail()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 41,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Country</th>\n",
+       "      <th>Percentage</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>Albania</td>\n",
+       "      <td></td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>51</td>\n",
+       "      <td></td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>Andorra</td>\n",
+       "      <td></td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5</th>\n",
+       "      <td>65</td>\n",
+       "      <td></td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7</th>\n",
+       "      <td>Austria</td>\n",
+       "      <td></td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   Country Percentage\n",
+       "1  Albania           \n",
+       "2       51           \n",
+       "4  Andorra           \n",
+       "5       65           \n",
+       "7  Austria           "
+      ]
+     },
+     "execution_count": 41,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Testing\n",
+    "df_social_drop.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 42,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Country</th>\n",
+       "      <th>Percentage</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>30</th>\n",
+       "      <td>Norway</td>\n",
+       "      <td>71</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>31</th>\n",
+       "      <td>Poland</td>\n",
+       "      <td>47</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>32</th>\n",
+       "      <td>Portugal</td>\n",
+       "      <td>65</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>33</th>\n",
+       "      <td>Romania</td>\n",
+       "      <td>56</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>34</th>\n",
+       "      <td>Serbia</td>\n",
+       "      <td>43</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>35</th>\n",
+       "      <td>Slovakia</td>\n",
+       "      <td>50</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>36</th>\n",
+       "      <td>Slovenia</td>\n",
+       "      <td>53</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>37</th>\n",
+       "      <td>Spain</td>\n",
+       "      <td>60</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>38</th>\n",
+       "      <td>Sweden</td>\n",
+       "      <td>72</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>39</th>\n",
+       "      <td>Switzerland</td>\n",
+       "      <td>51</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "        Country Percentage\n",
+       "30       Norway         71\n",
+       "31       Poland         47\n",
+       "32     Portugal         65\n",
+       "33      Romania         56\n",
+       "34       Serbia         43\n",
+       "35     Slovakia         50\n",
+       "36     Slovenia         53\n",
+       "37        Spain         60\n",
+       "38       Sweden         72\n",
+       "39  Switzerland         51"
+      ]
+     },
+     "execution_count": 42,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Adding the percentage into the new percentage column\n",
+    "new_df_social = pd.DataFrame({'Country':df_social_drop['Country'].iloc[::2].values, 'Percentage':df_social_drop['Country'].iloc[1::2].values})\n",
+    "new_df_social[30:40]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 43,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Dropping duplicate values\n",
+    "\n",
+    "new_df_social = new_df_social.drop_duplicates()\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 44,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Country</th>\n",
+       "      <th>Percentage</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>Albania</td>\n",
+       "      <td>51</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>Andorra</td>\n",
+       "      <td>65</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>Austria</td>\n",
+       "      <td>50</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>Belarus</td>\n",
+       "      <td>40</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>Belgium</td>\n",
+       "      <td>65</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5</th>\n",
+       "      <td>Bulgaria</td>\n",
+       "      <td>54</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6</th>\n",
+       "      <td>Croatia</td>\n",
+       "      <td>48</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7</th>\n",
+       "      <td>Czechia</td>\n",
+       "      <td>54</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8</th>\n",
+       "      <td>Denmark</td>\n",
+       "      <td>71</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9</th>\n",
+       "      <td>Estonia</td>\n",
+       "      <td>57</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>10</th>\n",
+       "      <td>Finland</td>\n",
+       "      <td>59</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>11</th>\n",
+       "      <td>France</td>\n",
+       "      <td>58</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>12</th>\n",
+       "      <td>Germany</td>\n",
+       "      <td>46</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>13</th>\n",
+       "      <td>Gibraltar</td>\n",
+       "      <td>72</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>14</th>\n",
+       "      <td>Greece</td>\n",
+       "      <td>54</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>15</th>\n",
+       "      <td>Guernsey</td>\n",
+       "      <td>58</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>16</th>\n",
+       "      <td>Hungary</td>\n",
+       "      <td>62</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>17</th>\n",
+       "      <td>Iceland</td>\n",
+       "      <td>83</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>18</th>\n",
+       "      <td>RepublicofIreland</td>\n",
+       "      <td>66</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>19</th>\n",
+       "      <td>Italy</td>\n",
+       "      <td>59</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>20</th>\n",
+       "      <td>Kosovo</td>\n",
+       "      <td>40</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>21</th>\n",
+       "      <td>Latvia</td>\n",
+       "      <td>51</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>22</th>\n",
+       "      <td>Liechtenstein</td>\n",
+       "      <td>44</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>23</th>\n",
+       "      <td>Lithuania</td>\n",
+       "      <td>59</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>24</th>\n",
+       "      <td>Luxembourg</td>\n",
+       "      <td>62</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>25</th>\n",
+       "      <td>Malta</td>\n",
+       "      <td>88</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>26</th>\n",
+       "      <td>Moldova</td>\n",
+       "      <td>30</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>27</th>\n",
+       "      <td>Monaco</td>\n",
+       "      <td>99</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>28</th>\n",
+       "      <td>Montenegro</td>\n",
+       "      <td>60</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>29</th>\n",
+       "      <td>Netherlands</td>\n",
+       "      <td>64</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>30</th>\n",
+       "      <td>Norway</td>\n",
+       "      <td>71</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>31</th>\n",
+       "      <td>Poland</td>\n",
+       "      <td>47</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>32</th>\n",
+       "      <td>Portugal</td>\n",
+       "      <td>65</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>33</th>\n",
+       "      <td>Romania</td>\n",
+       "      <td>56</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>34</th>\n",
+       "      <td>Serbia</td>\n",
+       "      <td>43</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>35</th>\n",
+       "      <td>Slovakia</td>\n",
+       "      <td>50</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>36</th>\n",
+       "      <td>Slovenia</td>\n",
+       "      <td>53</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>37</th>\n",
+       "      <td>Spain</td>\n",
+       "      <td>60</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>38</th>\n",
+       "      <td>Sweden</td>\n",
+       "      <td>72</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>39</th>\n",
+       "      <td>Switzerland</td>\n",
+       "      <td>51</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>40</th>\n",
+       "      <td>TheFaroeIslands</td>\n",
+       "      <td>75</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>41</th>\n",
+       "      <td>Ukraine</td>\n",
+       "      <td>39</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>42</th>\n",
+       "      <td>ActivesocialmediapenetrationAlbania</td>\n",
+       "      <td>51</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                                Country Percentage\n",
+       "0                               Albania         51\n",
+       "1                               Andorra         65\n",
+       "2                               Austria         50\n",
+       "3                               Belarus         40\n",
+       "4                               Belgium         65\n",
+       "5                              Bulgaria         54\n",
+       "6                               Croatia         48\n",
+       "7                               Czechia         54\n",
+       "8                               Denmark         71\n",
+       "9                               Estonia         57\n",
+       "10                              Finland         59\n",
+       "11                               France         58\n",
+       "12                              Germany         46\n",
+       "13                            Gibraltar         72\n",
+       "14                               Greece         54\n",
+       "15                             Guernsey         58\n",
+       "16                              Hungary         62\n",
+       "17                              Iceland         83\n",
+       "18                    RepublicofIreland         66\n",
+       "19                                Italy         59\n",
+       "20                               Kosovo         40\n",
+       "21                               Latvia         51\n",
+       "22                        Liechtenstein         44\n",
+       "23                            Lithuania         59\n",
+       "24                           Luxembourg         62\n",
+       "25                                Malta         88\n",
+       "26                              Moldova         30\n",
+       "27                               Monaco         99\n",
+       "28                           Montenegro         60\n",
+       "29                          Netherlands         64\n",
+       "30                               Norway         71\n",
+       "31                               Poland         47\n",
+       "32                             Portugal         65\n",
+       "33                              Romania         56\n",
+       "34                               Serbia         43\n",
+       "35                             Slovakia         50\n",
+       "36                             Slovenia         53\n",
+       "37                                Spain         60\n",
+       "38                               Sweden         72\n",
+       "39                          Switzerland         51\n",
+       "40                      TheFaroeIslands         75\n",
+       "41                              Ukraine         39\n",
+       "42  ActivesocialmediapenetrationAlbania         51"
+      ]
+     },
+     "execution_count": 44,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "new_df_social"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 45,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Dropping last duplicate row\n",
+    "new_df_social = new_df_social.drop([42])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 46,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Adding UK to the dataframe\n",
+    "dfUK = pd.DataFrame({\"Country\":{42:'United Kingdom'},'Percentage':{42:'67'}}) "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 47,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Appending\n",
+    "new_df_social = new_df_social.append(dfUK) "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 48,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Country</th>\n",
+       "      <th>Percentage</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>Albania</td>\n",
+       "      <td>51</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>Andorra</td>\n",
+       "      <td>65</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>Austria</td>\n",
+       "      <td>50</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>Belarus</td>\n",
+       "      <td>40</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>Belgium</td>\n",
+       "      <td>65</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5</th>\n",
+       "      <td>Bulgaria</td>\n",
+       "      <td>54</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6</th>\n",
+       "      <td>Croatia</td>\n",
+       "      <td>48</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7</th>\n",
+       "      <td>Czechia</td>\n",
+       "      <td>54</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8</th>\n",
+       "      <td>Denmark</td>\n",
+       "      <td>71</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9</th>\n",
+       "      <td>Estonia</td>\n",
+       "      <td>57</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>10</th>\n",
+       "      <td>Finland</td>\n",
+       "      <td>59</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>11</th>\n",
+       "      <td>France</td>\n",
+       "      <td>58</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>12</th>\n",
+       "      <td>Germany</td>\n",
+       "      <td>46</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>13</th>\n",
+       "      <td>Gibraltar</td>\n",
+       "      <td>72</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>14</th>\n",
+       "      <td>Greece</td>\n",
+       "      <td>54</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>15</th>\n",
+       "      <td>Guernsey</td>\n",
+       "      <td>58</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>16</th>\n",
+       "      <td>Hungary</td>\n",
+       "      <td>62</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>17</th>\n",
+       "      <td>Iceland</td>\n",
+       "      <td>83</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>18</th>\n",
+       "      <td>RepublicofIreland</td>\n",
+       "      <td>66</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>19</th>\n",
+       "      <td>Italy</td>\n",
+       "      <td>59</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>20</th>\n",
+       "      <td>Kosovo</td>\n",
+       "      <td>40</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>21</th>\n",
+       "      <td>Latvia</td>\n",
+       "      <td>51</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>22</th>\n",
+       "      <td>Liechtenstein</td>\n",
+       "      <td>44</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>23</th>\n",
+       "      <td>Lithuania</td>\n",
+       "      <td>59</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>24</th>\n",
+       "      <td>Luxembourg</td>\n",
+       "      <td>62</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>25</th>\n",
+       "      <td>Malta</td>\n",
+       "      <td>88</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>26</th>\n",
+       "      <td>Moldova</td>\n",
+       "      <td>30</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>27</th>\n",
+       "      <td>Monaco</td>\n",
+       "      <td>99</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>28</th>\n",
+       "      <td>Montenegro</td>\n",
+       "      <td>60</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>29</th>\n",
+       "      <td>Netherlands</td>\n",
+       "      <td>64</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>30</th>\n",
+       "      <td>Norway</td>\n",
+       "      <td>71</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>31</th>\n",
+       "      <td>Poland</td>\n",
+       "      <td>47</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>32</th>\n",
+       "      <td>Portugal</td>\n",
+       "      <td>65</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>33</th>\n",
+       "      <td>Romania</td>\n",
+       "      <td>56</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>34</th>\n",
+       "      <td>Serbia</td>\n",
+       "      <td>43</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>35</th>\n",
+       "      <td>Slovakia</td>\n",
+       "      <td>50</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>36</th>\n",
+       "      <td>Slovenia</td>\n",
+       "      <td>53</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>37</th>\n",
+       "      <td>Spain</td>\n",
+       "      <td>60</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>38</th>\n",
+       "      <td>Sweden</td>\n",
+       "      <td>72</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>39</th>\n",
+       "      <td>Switzerland</td>\n",
+       "      <td>51</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>40</th>\n",
+       "      <td>TheFaroeIslands</td>\n",
+       "      <td>75</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>41</th>\n",
+       "      <td>Ukraine</td>\n",
+       "      <td>39</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>42</th>\n",
+       "      <td>United Kingdom</td>\n",
+       "      <td>67</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "              Country Percentage\n",
+       "0             Albania         51\n",
+       "1             Andorra         65\n",
+       "2             Austria         50\n",
+       "3             Belarus         40\n",
+       "4             Belgium         65\n",
+       "5            Bulgaria         54\n",
+       "6             Croatia         48\n",
+       "7             Czechia         54\n",
+       "8             Denmark         71\n",
+       "9             Estonia         57\n",
+       "10            Finland         59\n",
+       "11             France         58\n",
+       "12            Germany         46\n",
+       "13          Gibraltar         72\n",
+       "14             Greece         54\n",
+       "15           Guernsey         58\n",
+       "16            Hungary         62\n",
+       "17            Iceland         83\n",
+       "18  RepublicofIreland         66\n",
+       "19              Italy         59\n",
+       "20             Kosovo         40\n",
+       "21             Latvia         51\n",
+       "22      Liechtenstein         44\n",
+       "23          Lithuania         59\n",
+       "24         Luxembourg         62\n",
+       "25              Malta         88\n",
+       "26            Moldova         30\n",
+       "27             Monaco         99\n",
+       "28         Montenegro         60\n",
+       "29        Netherlands         64\n",
+       "30             Norway         71\n",
+       "31             Poland         47\n",
+       "32           Portugal         65\n",
+       "33            Romania         56\n",
+       "34             Serbia         43\n",
+       "35           Slovakia         50\n",
+       "36           Slovenia         53\n",
+       "37              Spain         60\n",
+       "38             Sweden         72\n",
+       "39        Switzerland         51\n",
+       "40    TheFaroeIslands         75\n",
+       "41            Ukraine         39\n",
+       "42     United Kingdom         67"
+      ]
+     },
+     "execution_count": 48,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Final dataframe social media per country\n",
+    "new_df_social"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 49,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "0"
+      ]
+     },
+     "execution_count": 49,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df_pharma_N06_2017['Value'].isnull().sum()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 50,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "['Australia' 'Austria' 'Belgium' 'Canada' 'Czech Republic' 'Finland'\n",
+      " 'Germany' 'Greece' 'Hungary' 'Iceland' 'Italy' 'Korea' 'Luxembourg'\n",
+      " 'Netherlands' 'Norway' 'Portugal' 'Slovak Republic' 'Spain' 'Sweden'\n",
+      " 'Turkey' 'United Kingdom' 'Chile' 'Estonia' 'Israel' 'Slovenia' 'Latvia'\n",
+      " 'Lithuania']\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Deciding on common countries in both datasets\n",
+    "\n",
+    "print(df_pharma_N06_2017.Country.unique())"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 51,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "['Albania' 'Andorra' 'Austria' 'Belarus' 'Belgium' 'Bulgaria' 'Croatia'\n",
+      " 'Czechia' 'Denmark' 'Estonia' 'Finland' 'France' 'Germany' 'Gibraltar'\n",
+      " 'Greece' 'Guernsey' 'Hungary' 'Iceland' 'RepublicofIreland' 'Italy'\n",
+      " 'Kosovo' 'Latvia' 'Liechtenstein' 'Lithuania' 'Luxembourg' 'Malta'\n",
+      " 'Moldova' 'Monaco' 'Montenegro' 'Netherlands' 'Norway' 'Poland'\n",
+      " 'Portugal' 'Romania' 'Serbia' 'Slovakia' 'Slovenia' 'Spain' 'Sweden'\n",
+      " 'Switzerland' 'TheFaroeIslands' 'Ukraine' 'United Kingdom']\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(new_df_social.Country.unique())"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 52,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# We choose the following countries:\n",
+    "\n",
+    "# Austria, Belgium, Finland, Germany, Greece, Hungary, Iceland, Italy, \n",
+    "# Luxembourg, Lithuania, Latvia, Estonia, Slovenia, United Kingdom, Netherlands, Norway, Portugal, \n",
+    "# Slovakia,Spain, Sweden"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 53,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array(['Albania', 'Andorra', 'Austria', 'Belarus', 'Belgium', 'Bulgaria',\n",
+       "       'Croatia', 'Czech Republic', 'Denmark', 'Estonia', 'Finland',\n",
+       "       'France', 'Germany', 'Gibraltar', 'Greece', 'Guernsey', 'Hungary',\n",
+       "       'Iceland', 'RepublicofIreland', 'Italy', 'Kosovo', 'Latvia',\n",
+       "       'Liechtenstein', 'Lithuania', 'Luxembourg', 'Malta', 'Moldova',\n",
+       "       'Monaco', 'Montenegro', 'Netherlands', 'Norway', 'Poland',\n",
+       "       'Portugal', 'Romania', 'Serbia', 'Slovak Republic', 'Slovenia',\n",
+       "       'Spain', 'Sweden', 'Switzerland', 'TheFaroeIslands', 'Ukraine',\n",
+       "       'United Kingdom'], dtype=object)"
+      ]
+     },
+     "execution_count": 53,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Renaming country names in social media dataset to merge\n",
+    "new_df_social['Country'].replace({'Slovakia': 'Slovak Republic', 'Czechia': 'Czech Republic'}, inplace=True)\n",
+    "\n",
+    "new_df_social.Country.unique()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 54,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "combined_df = pd.merge(df_pharma_N06_2017,new_df_social[['Country','Percentage']], on='Country')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 55,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Variable</th>\n",
+       "      <th>COU</th>\n",
+       "      <th>Country</th>\n",
+       "      <th>Year</th>\n",
+       "      <th>Value</th>\n",
+       "      <th>Percentage</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>N06A-Antidepressants</td>\n",
+       "      <td>AUT</td>\n",
+       "      <td>Austria</td>\n",
+       "      <td>2017</td>\n",
+       "      <td>61.0</td>\n",
+       "      <td>50</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>N06A-Antidepressants</td>\n",
+       "      <td>BEL</td>\n",
+       "      <td>Belgium</td>\n",
+       "      <td>2017</td>\n",
+       "      <td>78.8</td>\n",
+       "      <td>65</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>N06A-Antidepressants</td>\n",
+       "      <td>CZE</td>\n",
+       "      <td>Czech Republic</td>\n",
+       "      <td>2017</td>\n",
+       "      <td>59.9</td>\n",
+       "      <td>54</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>N06A-Antidepressants</td>\n",
+       "      <td>FIN</td>\n",
+       "      <td>Finland</td>\n",
+       "      <td>2017</td>\n",
+       "      <td>70.2</td>\n",
+       "      <td>59</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>N06A-Antidepressants</td>\n",
+       "      <td>DEU</td>\n",
+       "      <td>Germany</td>\n",
+       "      <td>2017</td>\n",
+       "      <td>56.9</td>\n",
+       "      <td>46</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5</th>\n",
+       "      <td>N06A-Antidepressants</td>\n",
+       "      <td>GRC</td>\n",
+       "      <td>Greece</td>\n",
+       "      <td>2017</td>\n",
+       "      <td>55.1</td>\n",
+       "      <td>54</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6</th>\n",
+       "      <td>N06A-Antidepressants</td>\n",
+       "      <td>HUN</td>\n",
+       "      <td>Hungary</td>\n",
+       "      <td>2017</td>\n",
+       "      <td>28.8</td>\n",
+       "      <td>62</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7</th>\n",
+       "      <td>N06A-Antidepressants</td>\n",
+       "      <td>ISL</td>\n",
+       "      <td>Iceland</td>\n",
+       "      <td>2017</td>\n",
+       "      <td>141.4</td>\n",
+       "      <td>83</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8</th>\n",
+       "      <td>N06A-Antidepressants</td>\n",
+       "      <td>ITA</td>\n",
+       "      <td>Italy</td>\n",
+       "      <td>2017</td>\n",
+       "      <td>40.4</td>\n",
+       "      <td>59</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9</th>\n",
+       "      <td>N06A-Antidepressants</td>\n",
+       "      <td>LUX</td>\n",
+       "      <td>Luxembourg</td>\n",
+       "      <td>2017</td>\n",
+       "      <td>54.1</td>\n",
+       "      <td>62</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>10</th>\n",
+       "      <td>N06A-Antidepressants</td>\n",
+       "      <td>NLD</td>\n",
+       "      <td>Netherlands</td>\n",
+       "      <td>2017</td>\n",
+       "      <td>46.1</td>\n",
+       "      <td>64</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>11</th>\n",
+       "      <td>N06A-Antidepressants</td>\n",
+       "      <td>NOR</td>\n",
+       "      <td>Norway</td>\n",
+       "      <td>2017</td>\n",
+       "      <td>57.1</td>\n",
+       "      <td>71</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>12</th>\n",
+       "      <td>N06A-Antidepressants</td>\n",
+       "      <td>PRT</td>\n",
+       "      <td>Portugal</td>\n",
+       "      <td>2017</td>\n",
+       "      <td>103.8</td>\n",
+       "      <td>65</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>13</th>\n",
+       "      <td>N06A-Antidepressants</td>\n",
+       "      <td>SVK</td>\n",
+       "      <td>Slovak Republic</td>\n",
+       "      <td>2017</td>\n",
+       "      <td>39.4</td>\n",
+       "      <td>50</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>14</th>\n",
+       "      <td>N06A-Antidepressants</td>\n",
+       "      <td>ESP</td>\n",
+       "      <td>Spain</td>\n",
+       "      <td>2017</td>\n",
+       "      <td>77.2</td>\n",
+       "      <td>60</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>15</th>\n",
+       "      <td>N06A-Antidepressants</td>\n",
+       "      <td>SWE</td>\n",
+       "      <td>Sweden</td>\n",
+       "      <td>2017</td>\n",
+       "      <td>96.9</td>\n",
+       "      <td>72</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>16</th>\n",
+       "      <td>N06A-Antidepressants</td>\n",
+       "      <td>GBR</td>\n",
+       "      <td>United Kingdom</td>\n",
+       "      <td>2017</td>\n",
+       "      <td>107.9</td>\n",
+       "      <td>67</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>17</th>\n",
+       "      <td>N06A-Antidepressants</td>\n",
+       "      <td>EST</td>\n",
+       "      <td>Estonia</td>\n",
+       "      <td>2017</td>\n",
+       "      <td>28.8</td>\n",
+       "      <td>57</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>18</th>\n",
+       "      <td>N06A-Antidepressants</td>\n",
+       "      <td>SVN</td>\n",
+       "      <td>Slovenia</td>\n",
+       "      <td>2017</td>\n",
+       "      <td>59.5</td>\n",
+       "      <td>53</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>19</th>\n",
+       "      <td>N06A-Antidepressants</td>\n",
+       "      <td>LVA</td>\n",
+       "      <td>Latvia</td>\n",
+       "      <td>2017</td>\n",
+       "      <td>15.0</td>\n",
+       "      <td>51</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>20</th>\n",
+       "      <td>N06A-Antidepressants</td>\n",
+       "      <td>LTU</td>\n",
+       "      <td>Lithuania</td>\n",
+       "      <td>2017</td>\n",
+       "      <td>32.1</td>\n",
+       "      <td>59</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                Variable  COU          Country  Year  Value Percentage\n",
+       "0   N06A-Antidepressants  AUT          Austria  2017   61.0         50\n",
+       "1   N06A-Antidepressants  BEL          Belgium  2017   78.8         65\n",
+       "2   N06A-Antidepressants  CZE   Czech Republic  2017   59.9         54\n",
+       "3   N06A-Antidepressants  FIN          Finland  2017   70.2         59\n",
+       "4   N06A-Antidepressants  DEU          Germany  2017   56.9         46\n",
+       "5   N06A-Antidepressants  GRC           Greece  2017   55.1         54\n",
+       "6   N06A-Antidepressants  HUN          Hungary  2017   28.8         62\n",
+       "7   N06A-Antidepressants  ISL          Iceland  2017  141.4         83\n",
+       "8   N06A-Antidepressants  ITA            Italy  2017   40.4         59\n",
+       "9   N06A-Antidepressants  LUX       Luxembourg  2017   54.1         62\n",
+       "10  N06A-Antidepressants  NLD      Netherlands  2017   46.1         64\n",
+       "11  N06A-Antidepressants  NOR           Norway  2017   57.1         71\n",
+       "12  N06A-Antidepressants  PRT         Portugal  2017  103.8         65\n",
+       "13  N06A-Antidepressants  SVK  Slovak Republic  2017   39.4         50\n",
+       "14  N06A-Antidepressants  ESP            Spain  2017   77.2         60\n",
+       "15  N06A-Antidepressants  SWE           Sweden  2017   96.9         72\n",
+       "16  N06A-Antidepressants  GBR   United Kingdom  2017  107.9         67\n",
+       "17  N06A-Antidepressants  EST          Estonia  2017   28.8         57\n",
+       "18  N06A-Antidepressants  SVN         Slovenia  2017   59.5         53\n",
+       "19  N06A-Antidepressants  LVA           Latvia  2017   15.0         51\n",
+       "20  N06A-Antidepressants  LTU        Lithuania  2017   32.1         59"
+      ]
+     },
+     "execution_count": 55,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "combined_df"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 56,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Variable       object\n",
+       "COU            object\n",
+       "Country        object\n",
+       "Year            int64\n",
+       "Value         float64\n",
+       "Percentage     object\n",
+       "dtype: object"
+      ]
+     },
+     "execution_count": 56,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Checking types\n",
+    "combined_df.dtypes"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 57,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Changing datatype Percentage\n",
+    "combined_df['Percentage'] = pd.to_numeric(combined_df['Percentage'])\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 58,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Variable       object\n",
+       "COU            object\n",
+       "Country        object\n",
+       "Year            int64\n",
+       "Value         float64\n",
+       "Percentage      int64\n",
+       "dtype: object"
+      ]
+     },
+     "execution_count": 58,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Check\n",
+    "combined_df.dtypes"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 59,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#reg = sns.regplot(x='Percentage', y ='Value', data = combined_df)\n",
+    "#plt.rcParams['figure.figsize']=9,7\n",
+    "#plt.legend(bbox_to_anchor=(1.04,1), loc=\"upper left\")\n",
+    "#reg.spines['right'].set_visible(False)\n",
+    "#reg.spines['top'].set_visible(False)\n",
+    "#reg.spines['right'].set_visible(False)\n",
+    "#reg.spines['top'].set_visible(False)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 60,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#sns.pairplot(combined_df, kind='reg')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Linear Regression"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 61,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import scipy\n",
+    "from scipy import stats"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 62,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "LinregressResult(slope=2.3603219165262965, intercept=-79.55650383679584, rvalue=0.6750566803726034, pvalue=0.0007867697578795408, stderr=0.591796999907399)\n"
+     ]
+    }
+   ],
+   "source": [
+    "X = combined_df['Percentage']\n",
+    "Y = combined_df['Value']\n",
+    "\n",
+    "slope, intercept, r_value,p_value, std_err = stats.linregress(X, Y)\n",
+    "\n",
+    "print(stats.linregress(X, Y))\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 86,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "R-squared: 0.455702\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(\"R-squared: %f\" % 0.6750566803726034**2)\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 64,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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+      "text/plain": [
+       "<Figure size 3600x720 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "lr = plt.scatter(X,Y)\n",
+    "plt.plot(X, slope*X+intercept, color='red')\n",
+    "#plt.title('Linear Regression', fontsize=14, fontweight='bold')\n",
+    "plt.rcParams['figure.figsize']=5,5\n",
+    "plt.xlabel('Percentage Social Media Use',fontsize=12, fontweight=\"bold\")\n",
+    "plt.ylabel('Consumption Antidepressants',fontsize=12, fontweight=\"bold\")\n",
+    "plt.show()\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 65,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#crosstabs = pd.crosstabs(combined_df)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 66,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Year</th>\n",
+       "      <th>Value</th>\n",
+       "      <th>Percentage</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>Year</th>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Value</th>\n",
+       "      <td>NaN</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.675057</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Percentage</th>\n",
+       "      <td>NaN</td>\n",
+       "      <td>0.675057</td>\n",
+       "      <td>1.000000</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "            Year     Value  Percentage\n",
+       "Year         NaN       NaN         NaN\n",
+       "Value        NaN  1.000000    0.675057\n",
+       "Percentage   NaN  0.675057    1.000000"
+      ]
+     },
+     "execution_count": 66,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "combined_df.corr()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 67,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.axes._subplots.AxesSubplot at 0x11bf91610>"
+      ]
+     },
+     "execution_count": 67,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 360x360 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "sns.distplot(combined_df['Value'], bins=5)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 69,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array(['Austria', 'Belgium', 'Czech Republic', 'Finland', 'Germany',\n",
+       "       'Greece', 'Hungary', 'Iceland', 'Italy', 'Luxembourg',\n",
+       "       'Netherlands', 'Norway', 'Portugal', 'Slovak Republic', 'Spain',\n",
+       "       'Sweden', 'United Kingdom', 'Estonia', 'Slovenia', 'Latvia',\n",
+       "       'Lithuania'], dtype=object)"
+      ]
+     },
+     "execution_count": 69,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "combined_df.Country.unique()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 70,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Plotting development antidepressant consumption over time\n",
+    "\n",
+    "Pharma_years = df_pharma_N06[df_pharma_N06['Country'].isin(['Austria', 'Belgium', 'Czech Republic', 'Finland', 'Germany','Greece', 'Hungary', 'Iceland', 'Italy', 'Luxembourg','Netherlands', 'Norway', 'Portugal', 'Slovak Republic', 'Spain','Sweden', 'United Kingdom', 'Estonia', 'Slovenia', 'Latvia','Lithuania'])]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 71,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array(['Austria', 'Belgium', 'Czech Republic', 'Finland', 'Germany',\n",
+       "       'Greece', 'Hungary', 'Iceland', 'Italy', 'Luxembourg',\n",
+       "       'Netherlands', 'Norway', 'Portugal', 'Slovak Republic', 'Spain',\n",
+       "       'Sweden', 'United Kingdom', 'Estonia', 'Slovenia', 'Latvia',\n",
+       "       'Lithuania'], dtype=object)"
+      ]
+     },
+     "execution_count": 71,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "Pharma_years.Country.unique()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 72,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Variable</th>\n",
+       "      <th>COU</th>\n",
+       "      <th>Country</th>\n",
+       "      <th>Year</th>\n",
+       "      <th>Value</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>18</th>\n",
+       "      <td>N06A-Antidepressants</td>\n",
+       "      <td>AUT</td>\n",
+       "      <td>Austria</td>\n",
+       "      <td>2010</td>\n",
+       "      <td>54.2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>19</th>\n",
+       "      <td>N06A-Antidepressants</td>\n",
+       "      <td>AUT</td>\n",
+       "      <td>Austria</td>\n",
+       "      <td>2011</td>\n",
+       "      <td>57.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>20</th>\n",
+       "      <td>N06A-Antidepressants</td>\n",
+       "      <td>AUT</td>\n",
+       "      <td>Austria</td>\n",
+       "      <td>2012</td>\n",
+       "      <td>58.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>21</th>\n",
+       "      <td>N06A-Antidepressants</td>\n",
+       "      <td>AUT</td>\n",
+       "      <td>Austria</td>\n",
+       "      <td>2013</td>\n",
+       "      <td>59.3</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>22</th>\n",
+       "      <td>N06A-Antidepressants</td>\n",
+       "      <td>AUT</td>\n",
+       "      <td>Austria</td>\n",
+       "      <td>2014</td>\n",
+       "      <td>60.3</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>23</th>\n",
+       "      <td>N06A-Antidepressants</td>\n",
+       "      <td>AUT</td>\n",
+       "      <td>Austria</td>\n",
+       "      <td>2015</td>\n",
+       "      <td>60.3</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>24</th>\n",
+       "      <td>N06A-Antidepressants</td>\n",
+       "      <td>AUT</td>\n",
+       "      <td>Austria</td>\n",
+       "      <td>2016</td>\n",
+       "      <td>60.5</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>25</th>\n",
+       "      <td>N06A-Antidepressants</td>\n",
+       "      <td>AUT</td>\n",
+       "      <td>Austria</td>\n",
+       "      <td>2017</td>\n",
+       "      <td>61.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>26</th>\n",
+       "      <td>N06A-Antidepressants</td>\n",
+       "      <td>BEL</td>\n",
+       "      <td>Belgium</td>\n",
+       "      <td>2000</td>\n",
+       "      <td>38.8</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>27</th>\n",
+       "      <td>N06A-Antidepressants</td>\n",
+       "      <td>BEL</td>\n",
+       "      <td>Belgium</td>\n",
+       "      <td>2001</td>\n",
+       "      <td>42.0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                Variable  COU  Country  Year  Value\n",
+       "18  N06A-Antidepressants  AUT  Austria  2010   54.2\n",
+       "19  N06A-Antidepressants  AUT  Austria  2011   57.0\n",
+       "20  N06A-Antidepressants  AUT  Austria  2012   58.0\n",
+       "21  N06A-Antidepressants  AUT  Austria  2013   59.3\n",
+       "22  N06A-Antidepressants  AUT  Austria  2014   60.3\n",
+       "23  N06A-Antidepressants  AUT  Austria  2015   60.3\n",
+       "24  N06A-Antidepressants  AUT  Austria  2016   60.5\n",
+       "25  N06A-Antidepressants  AUT  Austria  2017   61.0\n",
+       "26  N06A-Antidepressants  BEL  Belgium  2000   38.8\n",
+       "27  N06A-Antidepressants  BEL  Belgium  2001   42.0"
+      ]
+     },
+     "execution_count": 72,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "Pharma_years.head(10)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 73,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# group by country\n",
+    "\n",
+    "Pharma_years_grouped = pd.DataFrame(Pharma_years['Value'].groupby(Pharma_years['Country']).agg('sum'))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 74,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Value</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Country</th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>Austria</th>\n",
+       "      <td>470.6</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Belgium</th>\n",
+       "      <td>1118.3</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Czech Republic</th>\n",
+       "      <td>643.4</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Estonia</th>\n",
+       "      <td>326.2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Finland</th>\n",
+       "      <td>1065.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Germany</th>\n",
+       "      <td>718.9</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Greece</th>\n",
+       "      <td>389.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Hungary</th>\n",
+       "      <td>457.2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Iceland</th>\n",
+       "      <td>1995.7</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Italy</th>\n",
+       "      <td>316.9</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Latvia</th>\n",
+       "      <td>71.4</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Lithuania</th>\n",
+       "      <td>213.1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Luxembourg</th>\n",
+       "      <td>781.7</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Netherlands</th>\n",
+       "      <td>685.7</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Norway</th>\n",
+       "      <td>1022.4</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Portugal</th>\n",
+       "      <td>1351.4</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Slovak Republic</th>\n",
+       "      <td>455.5</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Slovenia</th>\n",
+       "      <td>582.5</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Spain</th>\n",
+       "      <td>991.1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Sweden</th>\n",
+       "      <td>1423.1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>United Kingdom</th>\n",
+       "      <td>1181.7</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                  Value\n",
+       "Country                \n",
+       "Austria           470.6\n",
+       "Belgium          1118.3\n",
+       "Czech Republic    643.4\n",
+       "Estonia           326.2\n",
+       "Finland          1065.0\n",
+       "Germany           718.9\n",
+       "Greece            389.0\n",
+       "Hungary           457.2\n",
+       "Iceland          1995.7\n",
+       "Italy             316.9\n",
+       "Latvia             71.4\n",
+       "Lithuania         213.1\n",
+       "Luxembourg        781.7\n",
+       "Netherlands       685.7\n",
+       "Norway           1022.4\n",
+       "Portugal         1351.4\n",
+       "Slovak Republic   455.5\n",
+       "Slovenia          582.5\n",
+       "Spain             991.1\n",
+       "Sweden           1423.1\n",
+       "United Kingdom   1181.7"
+      ]
+     },
+     "execution_count": 74,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "Pharma_years_grouped"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 75,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "Pharma_years_grouped2 = pd.DataFrame(Pharma_years.groupby(Pharma_years['Year']).agg('sum'))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 76,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Value</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Year</th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>2000</th>\n",
+       "      <td>406.9</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2001</th>\n",
+       "      <td>490.4</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2002</th>\n",
+       "      <td>539.8</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2003</th>\n",
+       "      <td>624.1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2004</th>\n",
+       "      <td>661.7</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2005</th>\n",
+       "      <td>651.4</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2006</th>\n",
+       "      <td>713.4</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2007</th>\n",
+       "      <td>765.3</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2008</th>\n",
+       "      <td>803.4</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2009</th>\n",
+       "      <td>832.6</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2010</th>\n",
+       "      <td>944.4</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2011</th>\n",
+       "      <td>1025.2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2012</th>\n",
+       "      <td>1061.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2013</th>\n",
+       "      <td>1149.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2014</th>\n",
+       "      <td>1190.8</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015</th>\n",
+       "      <td>1236.7</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2016</th>\n",
+       "      <td>1230.4</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2017</th>\n",
+       "      <td>1310.4</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2018</th>\n",
+       "      <td>623.9</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "       Value\n",
+       "Year        \n",
+       "2000   406.9\n",
+       "2001   490.4\n",
+       "2002   539.8\n",
+       "2003   624.1\n",
+       "2004   661.7\n",
+       "2005   651.4\n",
+       "2006   713.4\n",
+       "2007   765.3\n",
+       "2008   803.4\n",
+       "2009   832.6\n",
+       "2010   944.4\n",
+       "2011  1025.2\n",
+       "2012  1061.0\n",
+       "2013  1149.0\n",
+       "2014  1190.8\n",
+       "2015  1236.7\n",
+       "2016  1230.4\n",
+       "2017  1310.4\n",
+       "2018   623.9"
+      ]
+     },
+     "execution_count": 76,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "Pharma_years_grouped2"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 77,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "3.2204472843450485"
+      ]
+     },
+     "execution_count": 77,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "perc = 1310.4/406.9\n",
+    "perc"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 90,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 864x648 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Plotting Timeline Antidepressant Consumption by Country\n",
+    "\n",
+    "ax = sns.lineplot (x='Year', y='Value', hue= 'Country', data =Pharma_years )\n",
+    "plt.rcParams['figure.figsize']=12,9\n",
+    "#plt.title(\"Timeline consumption by Countries\", fontsize = 16, fontweight=\"bold\")\n",
+    "plt.xlabel('\\nYears',fontsize=14, fontweight=\"bold\")\n",
+    "plt.ylabel('Consumption per 1.000 inhabitants per day\\n',fontsize=14, fontweight=\"bold\")\n",
+    "plt.xlim(2000,2018)\n",
+    "#plt.box(False)\n",
+    "#plt.legend(loc='upper right', frameon=True)\n",
+    "plt.xticks(fontsize=12, fontweight=\"bold\")\n",
+    "plt.yticks(fontsize=12, fontweight=\"bold\")\n",
+    "#plt.ylabel('Consumption per 1.000 inhabitants per day',fontsize=14, fontweight=\"bold\")\n",
+    "\n",
+    "ax.spines['right'].set_visible(False)\n",
+    "ax.spines['top'].set_visible(False)\n",
+    "ax.get_legend().remove()\n",
+    "#ax.yaxis.set_ticks_position('left')\n",
+    "#ax.xaxis.set_ticks_position('right')\n",
+    "#plt.savefig('timeline_country_consumption.png', dpi=300)\n",
+    "plt.show()\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 79,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Variable</th>\n",
+       "      <th>COU</th>\n",
+       "      <th>Country</th>\n",
+       "      <th>Year</th>\n",
+       "      <th>Value</th>\n",
+       "      <th>Percentage</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>N06A-Antidepressants</td>\n",
+       "      <td>AUT</td>\n",
+       "      <td>Austria</td>\n",
+       "      <td>2017</td>\n",
+       "      <td>61.0</td>\n",
+       "      <td>50</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>N06A-Antidepressants</td>\n",
+       "      <td>BEL</td>\n",
+       "      <td>Belgium</td>\n",
+       "      <td>2017</td>\n",
+       "      <td>78.8</td>\n",
+       "      <td>65</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>N06A-Antidepressants</td>\n",
+       "      <td>CZE</td>\n",
+       "      <td>Czech Republic</td>\n",
+       "      <td>2017</td>\n",
+       "      <td>59.9</td>\n",
+       "      <td>54</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>N06A-Antidepressants</td>\n",
+       "      <td>FIN</td>\n",
+       "      <td>Finland</td>\n",
+       "      <td>2017</td>\n",
+       "      <td>70.2</td>\n",
+       "      <td>59</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>N06A-Antidepressants</td>\n",
+       "      <td>DEU</td>\n",
+       "      <td>Germany</td>\n",
+       "      <td>2017</td>\n",
+       "      <td>56.9</td>\n",
+       "      <td>46</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "               Variable  COU         Country  Year  Value  Percentage\n",
+       "0  N06A-Antidepressants  AUT         Austria  2017   61.0          50\n",
+       "1  N06A-Antidepressants  BEL         Belgium  2017   78.8          65\n",
+       "2  N06A-Antidepressants  CZE  Czech Republic  2017   59.9          54\n",
+       "3  N06A-Antidepressants  FIN         Finland  2017   70.2          59\n",
+       "4  N06A-Antidepressants  DEU         Germany  2017   56.9          46"
+      ]
+     },
+     "execution_count": 79,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "combined_df.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 80,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "combined_df_sorted = combined_df.sort_values(by='Value', ascending = False)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 81,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 864x648 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Plotting Antidepressants by country\n",
+    "\n",
+    "bar_2017 = sns.barplot(x=\"Country\", y=\"Value\", data = combined_df_sorted, palette = \"RdYlGn\" )\n",
+    "plt.rcParams['figure.figsize']=16,6\n",
+    "plt.xticks(fontsize=12, fontweight=\"bold\",rotation='vertical')\n",
+    "plt.yticks(fontsize=12, fontweight=\"bold\")\n",
+    "plt.xlabel('Country',fontsize=13, fontweight=\"bold\")\n",
+    "plt.ylabel('Consumption per 1.000 inhabitants per day',fontsize=13, fontweight=\"bold\")\n",
+    "bar_2017.spines['right'].set_visible(False)\n",
+    "bar_2017.spines['top'].set_visible(False)\n",
+    "bar_2017.spines['left'].set_visible(False)\n",
+    "bar_2017.spines['bottom'].set_visible(False)\n",
+    "plt.savefig('Consumption_2017', dp=300)\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 82,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Sort combined dataset by % Social Media\n",
+    "combined_df_sorted_Per = combined_df.sort_values(by='Percentage', ascending = False)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 83,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 1152x432 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Plotting Social Media by Country\n",
+    "\n",
+    "social_bar_2019 = sns.barplot(x=\"Country\", y=\"Percentage\", data = combined_df_sorted_Per, palette = \"RdYlGn\" )\n",
+    "plt.rcParams['figure.figsize']=16,6\n",
+    "plt.xticks(fontsize=12, fontweight=\"bold\",rotation='vertical')\n",
+    "plt.yticks(fontsize=12, fontweight=\"bold\")\n",
+    "plt.xlabel('Country',fontsize=13, fontweight=\"bold\")\n",
+    "plt.ylabel('Social Media Use in %',fontsize=13, fontweight=\"bold\")\n",
+    "social_bar_2019.spines['right'].set_visible(False)\n",
+    "social_bar_2019.spines['top'].set_visible(False)\n",
+    "social_bar_2019.spines['left'].set_visible(False)\n",
+    "social_bar_2019.spines['bottom'].set_visible(False)\n",
+    "plt.savefig('Social_2019', dp=300)\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 84,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 1152x432 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Plotting Social Media & Antidepressants\n",
+    "# Plot Scatterplot without regression line\n",
+    "\n",
+    "sc = sns.scatterplot(x='Percentage', y ='Value', hue='Country', data = combined_df,s=80)\n",
+    "\n",
+    "plt.legend(bbox_to_anchor=(1.04,1), loc=\"upper left\")\n",
+    "plt.xlabel('Percentage Social Media Use',fontsize=12, fontweight=\"bold\")\n",
+    "plt.ylabel('Consumption Antidepressants',fontsize=12, fontweight=\"bold\")\n",
+    "plt.rcParams['figure.figsize']=7,7\n",
+    "plt.xlim(45,85)\n",
+    "plt.ylim(0,150)\n",
+    "sc.spines['right'].set_visible(False)\n",
+    "sc.spines['top'].set_visible(False)\n",
+    "#plt.rcParams['figure.figsize']=9,7\n",
+    "plt.savefig('Correlation.png',dpi=300)\n",
+    "plt.show()\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 87,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 467.625x360 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Plot Scatterplot with regression line\n",
+    "\n",
+    "g = sns.lmplot(x=\"Percentage\", y=\"Value\", hue=\"Country\", data=combined_df, fit_reg=False)\n",
+    "sns.regplot(x=\"Percentage\", y=\"Value\", data=combined_df, scatter=False, ax=g.axes[0, 0])\n",
+    "plt.rcParams['figure.figsize']=9,7\n",
+    "plt.xlabel('Percentage Social Media Use',fontsize=12, fontweight=\"bold\")\n",
+    "plt.ylabel('Consumption Antidepressants',fontsize=12, fontweight=\"bold\")\n",
+    "plt.savefig('Linear Regression2.png',dpi=300)\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 92,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<seaborn.axisgrid.FacetGrid at 0x126388d50>"
+      ]
+     },
+     "execution_count": 92,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 360x360 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "sns.lmplot(x=\"Percentage\", y=\"Value\", data=combined_df, fit_reg=False)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.7.4"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
diff --git a/Presentation Depression & Social Media.pdf b/Presentation Depression & Social Media.pdf
new file mode 100644
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